"""Somato
"""
study_name = 'ds003104'
bids_root = f'/storage/store2/data/{study_name}'
deriv_root = f'/storage/store2/derivatives/{study_name}/mne-bids-pipeline/'
subjects_dir = f'{bids_root}/derivatives/freesurfer/subjects'

conditions = ['somato_event1']
ch_types = ['meg']

  Platform:         Linux-4.15.0-136-generic-x86_64-with-glibc2.27
Python:           3.9.9 | packaged by conda-forge | (main, Dec 20 2021, 02:41:03)  [GCC 9.4.0]
Executable:       /data/parietal/store/work/agramfor/mambaforge/bin/python3.9
CPU:              x86_64: 88 cores
Memory:           503.8 GB

mne:              1.2.dev0
numpy:            1.21.6 {MKL 2022.0-Product with 1 thread}
scipy:            1.8.1
matplotlib:       3.4.3 {backend=agg}

sklearn:          0.24.2
numba:            0.55.1
nibabel:          3.2.1
nilearn:          Not found
dipy:             Not found
openmeeg:         Not found
cupy:             Not found
pandas:           1.3.3
pyvista:          0.32.1 {OpenGL 3.3 (Core Profile) Mesa 20.0.8 via llvmpipe (LLVM 10.0.0, 256 bits)}
pyvistaqt:        0.5.0
ipyvtklink:       Not found
vtk:              9.1.0
qtpy:             1.11.2 {PyQt5=5.12.9}
ipympl:           Not found
pyqtgraph:        Not found
pooch:            v1.6.0

mne_bids:         0.11.dev0
mne_nirs:         Not found
mne_features:     Not found
mne_qt_browser:   Not found
mne_connectivity: Not found
mne_icalabel:     Not found